Sustainable Soundscape Monitoring of Modified Psycho-Acoustic Annoyance Model with Edge Computing for 5G IoT Systems

Author:

Segura-Garcia Jaume1ORCID,Pérez-Solano Juan J.1ORCID,Felici-Castell Santiago1ORCID,Montoya-Belmonte José2ORCID,Lopez-Ballester Jesus1ORCID,Navarro Juan Miguel2ORCID

Affiliation:

1. Department of Computer Science, ETSE—Universitat de Valencia, 46100 Burjassot, Spain

2. Research Group in Advanced Telecommunications (GRITA), UCAM Universidad Católica de Murcia, 30107 Guadalupe, Spain

Abstract

Next-generation IoT systems will allow sustainable performance in long-term monitoring systems. This sustainability concept applies to soundscape description, as it allows monitoring in urban environments. In this work, the implementation of psycho-acoustic annoyance models in a 5G-enabled IoT system is proposed, applying two edge-computing approaches. A modified Zwicker’s model is adopted in this research, introducing a term that takes into account the tonal component of the captured sound. These implementations have been validated in a measurement campaign where several IoT devices have been deployed to evaluate different sound environments of a university campus. Then, the analysis of the sound-quality metrics is conducted in a different location, showing that if tonality is present in a noisy environment, it results in greater subjective annoyance. Moreover, the Just-Noticeable Difference of these results is derived from Zwicker’s psycho-acoustic annoyance to establish a limitation for this metric.

Funder

Ministerio de Innovación y Economía

FEDER funds

ERDF

Universitat de València

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference40 articles.

1. (2014). Acoustics—Soundscape—Part 1: Definition and Conceptual Framework (Standard No. ISO 12913-1:2014).

2. (2018). Acoustics—Soundscape—Part 2: Data Collection and Reporting Requirements (Standard No. ISO 12913-2:2018).

3. ISO/TS 12913-2:2018—Soundscape—Part 2: Data collection and reporting requirements—What’s it all about?;Dunbavin;Acoust. Bull.,2018

4. Enabling Real-Time Computation of Psycho-Acoustic Parameters in Acoustic Sensors Using Convolutional Neural Networks;Cobos;IEEE Sens. J.,2020

5. Montoya-Belmonte, J., and Navarro, J.M. (2020). Long-Term Temporal Analysis of Psychoacoustic Parameters of the Acoustic Environment in a University Campus Using a Wireless Acoustic Sensor Network. Sustainability, 12.

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